# -*- coding: utf-8 -*-
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from datetime import timedelta
from jms.dm.route.dm_cainiao_route_push_data import dm__dm_cainiao_route_push_data

jms_dm__dm_cainiao_route_push_old_data_bak_dt = SparkSqlOperator(
    task_id='jms_dm__dm_cainiao_route_push_old_data_bak_dt',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout = timedelta(minutes=30),
    email=['zhangqinglin@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='dm_cainiao_route_push_old_data_bak_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/route/dm_cainiao_route_push_old_data_bak_dt/execute.hql',
    executor_cores=2,
    executor_memory='2G',
    num_executors=5,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled' : 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'  : 10,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.sql.sources.partitionOverwriteMode' : 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead' : '1G',  # 堆外内存
        'spark.sql.shuffle.partitions' : 100,
    },

)

jms_dm__dm_cainiao_route_push_old_data_bak_dt << [
    dm__dm_cainiao_route_push_data
]
